Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey

M Almanea - IEEE Access, 2024 - ieeexplore.ieee.org
This article presents a comprehensive survey on recent applications of deep learning (DL)
algorithms to written Arabic. Despite the increasing amount of user-generated content in …

A novel biometric system for signature verification based on score level fusion approach

T Dhieb, H Boubaker, S Njah, M Ben Ayed… - Multimedia Tools and …, 2022 - Springer
The active modality of handwriting is broadly related to signature verification in the context of
biometric user authentication systems. Signature verification aims to verify a questioned …

In-air signature verification system based on beta-elliptical approach and fuzzy perceptual detector

AR Alobaidi, T Dhieb, TM Hamdani, A Wali… - IEEE …, 2023 - ieeexplore.ieee.org
Believing that biometrics trends are moving to distant and contactless mode, in-air signature
verification is nowadays considered as one of the principal users biometric identification in …

A new online Arabic handwriting dataset for analyzing Parkinson's disease

MF Allebawi, T Dhieb, I Jarraya, M Neji… - … on Cyberworlds (CW …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a common and progressive neurodegenerative disorder with
motor symptoms and a variety of non-motor symptoms. Experts regularly include handwriting …

Interactive design psychology and artificial intelligence-based innovative exploration of Anglo-American traumatic narrative literature

X Hou, N Omar, J Wang - Frontiers in Psychology, 2022 - frontiersin.org
The advent of the intelligence age has injected new elements into the development of
literature. The synergic modification of Anglo-American (AAL) traumatic narrative (TN) …

New In-Air Signature Datasets

AAR Alobaidi, T Dhieb, ZN Nuimi… - 2023 International …, 2023 - ieeexplore.ieee.org
Compared to traditional biometric systems, in-air signatures are considered more robust and
secure than classical pen paper. A few datasets capturing in-air signatures have been …

Parkinson's Disease Detection from Online Handwriting based on Beta-Elliptical Approach and Fuzzy Perceptual Detector

MF Allebawi, T Dhieb, M Neji, N Farhat, E Smaoui… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing age of our society is connected to a rising number of people suffering from
disorders. One such disorder is Parkinson's disease (PD). Predictions indicate that the …

Do individual characteristics influence the beta-elliptic modeling errors during ellipse drawing movements?

T Dhieb, N Rezzoug, H Boubaker… - Computer Methods in …, 2022 - Taylor & Francis
This paper investigates whether age, gender, and degree of familiarity with writing have an
influence on the Beta-elliptic model errors during hand-drawing on a graphical tablet. A …

Self-Supervised Representation Learning for Online Handwriting Text Classification

P Mehralian, B BabaAli, AG Mohammadi - arXiv preprint arXiv:2310.06645, 2023 - arxiv.org
Self-supervised learning offers an efficient way of extracting rich representations from
various types of unlabeled data while avoiding the cost of annotating large-scale datasets …

ASAR 2021 Online Arabic Writer Identification Competition

T Dhieb, H Boubaker, S Njah, M Ben Ayed… - … Conference on Document …, 2021 - Springer
This paper describes the online Arabic writer identification competition held at ICDAR 2021
Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2021, 4th edition) …